Publications associées à Moteur de jeu

Detecting Compensatory Motions and Providing Informative Feedback During a Tangible Robot Assisted Game for Post-Stroke Rehabilitation

Pierre Dillenbourg, Friedhelm Christoph Hummel, Barbara Bruno, Arzu Güneysu Özgür, Hala Khodr, Maximilian Jonas Wessel, Ayberk Özgür

Gamified rehabilitation tackles the problem of keeping patients engaged in, and motivated to do physical rehabilitation to improve its efficacy. However, with respect to standard rehabilitation, patients are freer to move about and may compensate their mot ...

IEEE2021

Exploring Spatial Perspective Taking in Human-Robot Interaction

Elmira Yadollahi

Humans often rely on their perspective taking skills to thrive within the world's complex relations and connections. An adequate understanding of others' spatial perspectives can increase the quality of the interaction, not only perceptually but also cogni ...

EPFL2021

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

Pierre Dillenbourg, Friedhelm Christoph Hummel, Wafa Monia Benkaouar Johal, Maximilian Jonas Wessel, Ayberk Özgür, Jennifer Kaitlyn Olsen, Arzu Güneysu Özgür

Background: An increasing lifespan and the resulting change in our expectations of later life stages are dependent on a good health state. This emphasizes the importance of the development of strategies to further strengthen healthy aging. One important as ...

2020

A Too to Design Interactive Characters Based on Embodied Cognition

Ronan Boulic, Joan Llobera Mahy

Creating interactive characters is one of the most challenging tasks of videogame design. In order to facilitate such an endeavor, we introduce a decisional and behavior synthesis architecture integrated in the game engine Unity3D. A distinguishing feature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories

David Atienza Alonso, Marina Zapater Sancho, Pierre-Emmanuel Julien Marc Gaillardon, Yasir Mahmood Qureshi, Xifan Tang, Edouard Giacomin, João Miguel Morgado Pereira Vieira

The need for running complex Machine Learning (ML) algorithms, such as Convolutional Neural Networks (CNNs), in edge devices, which are highly constrained in terms of computing power and energy, makes it important to execute such applications efficiently. ...

2019

Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies

Henry Markram, Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Juan Bautista Hernando Vieites, Stefan Eilemann, Nicolas Antille

Background: We present a software workflow capable of building large scale, highly detailed and realistic volumetric models of neocortical circuits from the morphological skeletons of their digitally reconstructed neurons. The limitations of the existing a ...

2017

Building Virtualization Engine: a Novel Approach Based on Discrete Event Simulation

Maher Kayal, Georgios Lilis, Olivier Valentin Henri Van Cutsem

This paper proposes and validates a Discrete Event Simulation (DES) engine for the Smart-Building (SB). It strives to virtualize the common elements found within it and integrates them transparently to an existing Building Management System (BMS), along wi ...

Ieee2016

Efficient Incremental Data Analysis

Milos Nikolic

Many data-intensive applications require real-time analytics over streaming data. In a growing number of domains -- sensor network monitoring, social web applications, clickstream analysis, high-frequency algorithmic trading, and fraud detections to name a ...

EPFL2016

Computational Shifts in Theatrical Space

Andrew James Sempere

This dissertation describes a set of research projects that were conducted between 2012 and 2014 in order to answer the question how do computational ideas alter our understanding of place? Each project was produced in the context of the performing arts an ...

EPFL2015

Game Programming by Demonstration

Viktor Kuncak, Mikaël Mayer

The increasing adoption of smartphones and tablets has provided tens of millions of users with substantial resources for computation, communication and sensing. The availability of these resources has a huge potential to positively transform our society an ...

2013